AI Supervisors

Glossary

Agent registry

A proposed inventory of supervised AI agents, their owners, and relevant operating context.

Source: ProductFeatureSet

Run timeline

A chronological view of an AI agent run and the events available for review.

Source: ProductFeatureSet

Tool-call log

A record of an attempted AI-agent tool action, its context, status, and related policy decision.

Source: ProductFeatureSet

Policy engine

The described component that evaluates an agent action against configured governance rules.

Source: ProductFeatureSet

Approval queue

A review area where risky proposed actions wait for an authorized human decision.

Source: ProductFeatureSet

Risk score

A contextual assessment used to support routing, blocking, sandboxing, or review.

Source: ProductFeatureSet

Quality evaluation

A structured check of agent output or behavior against defined criteria.

Source: ProductFeatureSet

Incident alert

A notice that an exception, policy issue, loop, or suspicious action needs attention.

Source: ProductFeatureSet

Audit export

A portable record of available run, policy, approval, incident, and evaluation evidence.

Source: ProductFeatureSet

Policy version

A tracked edition of supervision rules so reviewers can identify what governed a run.

Source: ContextLayer

Tamper-evident log

A record designed to make later alteration detectable rather than silently rewriting history.

Source: TrustSafetyCompliance

Safe fallback

A constrained response used when supervision data, permissions, or confidence are incomplete.

Source: AgenticAutonomyAndSafetyModel

Sandbox

A restricted operating state for examining an action without granting normal production reach.

Source: AgenticAutonomyAndSafetyModel

Blocked action

A proposed agent action stopped under a configured policy or review boundary.

Source: ArtifactCaptureStrategy

Run ingestion

The process of receiving agent-run events for timeline, policy, and audit review.

Source: MVP_Scope

Supervision control plane

The proposed shared layer for monitoring and governing multiple AI-agent workflows.

Source: Subcategory

Incident escalation

Routing a detected supervision problem to the accountable person or response process.

Source: TrustSafetyCompliance

Cost tracking

A proposed dashboard capability for observing usage-related measures across agent runs.

Source: ProductFeatureSet